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    Tytuł:
    An approach to represent a combined exposure to air pollution
    Autorzy:
    Szyszkowicz, Mieczyslaw
    Powiązania:
    https://bibliotekanauki.pl/articles/2177164.pdf
    Data publikacji:
    2015-07-17
    Wydawca:
    Instytut Medycyny Pracy im. prof. dra Jerzego Nofera w Łodzi
    Tematy:
    ambient air pollution
    case-crossover
    odds ratio
    index
    emergency department visit
    air pollution
    Opis:
    Objectives The objective of this study was to present a technique for estimating the effect of ambient air pollution mix on health outcomes. Material and Methods We created a technique of indexing air pollution mix as a cause of the increased odds of health problems. As an illustrative example, we analyzed the impact of pollution on the frequency of emergency department (ED) visits due to colitis among young patients (age < 15 years, N = 11 110). Our technique involves 2 steps. First, we considered 6 ambient air pollutants (carbon monoxide, nitrogen dioxide, sulphur dioxide, ozone, and 2 measures of particulate matter) treating each pollutant as a single exposure. Odds ratios (ORs) for ED visits associated with a standard increase (interquartile range – IQR) in the pollutants levels were calculated using the case-crossover technique. The ORs and their 95% confidence intervals (95% CIs) were also found for lagged exposures (for lags 1–9 days). Second, we defined a Health Air Study Index (HASI) to represent the combined impact of the 6 air pollutants. Results We obtained positive and statistically significant results for individual air pollutants and among them the following estimations: OR = 1.06 (95% CI: 1.02–1.1, NO₂ lag 3, IQR = 12.8 ppb), OR = 1.04 (95% CI: 1.01–1.07, SO₂ lag 4, IQR = 2.3 ppb), OR = 1.04 (95% CI: 1–1.06, PM lag 3, IQR = 6.2 μg/m³). Among the re-calculated ORs with the HASI values as an exposure, the highest estimated value was OR = 1.37 (95% CI: 1.12–1.68, for 1 unit of the HASI, lag 3). Conclusions The proposed index (HASI) allows to confirm the pattern of associations for lags obtained for individual air pollutants. In the presented example the used index (HASI) indicates the strongest relation with the exposure lagged by 3 days.
    Źródło:
    International Journal of Occupational Medicine and Environmental Health; 2015, 28, 5; 823-830
    1232-1087
    1896-494X
    Pojawia się w:
    International Journal of Occupational Medicine and Environmental Health
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The use of chained two-point clusters for the examination of associations of air pollution with health conditions
    Autorzy:
    Szyszkowicz, Mieczysław
    Burr, Wesley S.
    Powiązania:
    https://bibliotekanauki.pl/articles/2177423.pdf
    Data publikacji:
    2016-05-25
    Wydawca:
    Instytut Medycyny Pracy im. prof. dra Jerzego Nofera w Łodzi
    Tematy:
    ambient air pollution
    Mortality
    case-crossover
    cluster
    relative risk
    odds ratio
    Opis:
    Objectives There are a few accepted and intensively applied statistical methods used to study associations of ambient air pollution with health conditions. Among the most popular methods applied to assess short term air health effects are case-crossover (using events) and time-series methodologies (using counts). A few other techniques for studying counts of events have been proposed, including the Generalized Linear Mixed Models (GLMM). One suggested GLMM technique uses cluster structures based on natural embedded hierarchies: days are nested in the days of a week (dow), which, in turn, are nested in months and months in years (< dow, month, years >). Material and Methods In this study the authors considered clusters with hierarchical structures in a form of < dow, 14-days, year >, where the 14-days hierarchy determines 7 clusters composed of 2 days (the same days) of a week (2 Mondays, 2 Tuesdays, etc.), in 1 year. In this work the authors proposed hierarchical chained clusters in which 2 days of a week are grouped as follows: (first, second), (second, third), (third, fourth) and so on. Such an approach allows determination of an additional series of the slopes on the clusters (second, third), (fourth, fifth), etc., i.e., estimation of the coefficients for other configurations of air pollutant levels. The authors considered a series of 2 point chained clusters covering a year. In such a construction each cluster has one common data point (day) with another one. Results The authors estimated coefficients (slopes) related to the ambient ozone exposure (mortality) and to 3 selected air pollutants (particulate matter, nitrogen dioxide and ozone) combined into index and considered as health risk exposure (emergency department (ED) visits). The generated results were compared to the estimations obtained from the time-series method and the time-stratified case-crossover method applied to the same data. Conclusions The proposed statistical method, based on the chained hierarchical clusters (< dow, 14-days, year >), generated results with shorter confidence intervals than the other methods.
    Źródło:
    International Journal of Occupational Medicine and Environmental Health; 2016, 29, 4; 613-622
    1232-1087
    1896-494X
    Pojawia się w:
    International Journal of Occupational Medicine and Environmental Health
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-2 z 2

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